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Acupuncture for chronic fatigue syndrome and idiopathic chronic fatigue: a multicenter, nonblinded, randomized controlled trial


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Acupuncture for chronic fatigue syndrome

and idiopathic chronic fatigue: a multicenter,

nonblinded, randomized controlled trial

Jung-Eun Kim


, Byung-Kwan Seo


, Jin-Bong Choi


, Hyeong-Jun Kim


, Tae-Hun Kim


, Min-Hee Lee



Kyung-Won Kang


, Joo-Hee Kim


, Kyung-Min Shin


, Seunghoon Lee


, So-Young Jung


, Ae-Ran Kim



Mi-Suk Shin


, Hee-Jung Jung


, Hyo-Ju Park


, Sung-Phil Kim


, Yong-Hyeon Baek


, Kwon-Eui Hong


and Sun-Mi Choi



Background:The causes of chronic fatigue syndrome (CFS) and idiopathic chronic fatigue (ICF) are not clearly known, and there are no definitive treatments for them. Therefore, patients with CFS and ICF are interested in Oriental medicine or complementary and alternative medicine. For this reason, the effectiveness of complementary and alternative treatments should be verified. We investigated the effectiveness of two forms of acupuncture added to usual care for CFS and ICF compared to usual care alone.

Methods:A three-arm parallel, non-blinded, randomized controlled trial was performed in four hospitals. We divided 150 participants into treatment and control groups at the same ratio. The treatment groups (Group A, body acupuncture; Group B, Sa-am acupuncture) received 10 sessions for 4 weeks. The control group (Group C) continued usual care alone. The primary outcome was the Fatigue Severity Scale (FSS) at 5 weeks after randomization. Secondary outcomes were the FSS at 13 weeks and a short form of the Stress Response Inventory (SRI), the Beck Depression Inventory (BDI), the Numeric Rating Scale (NRS), and the EuroQol-5 Dimension (EQ-5D) at 5 and 13 weeks.

Results: Group A showed significantly lower FSS scores than Group C at 5 weeks (P = 0.023). SRI scores were significantly lower in the treatment groups than in the control group at 5 (Group A, P = 0.032; B, P <0.001) and 13 weeks (Group A, P = 0.037; B, P <0.001). Group B showed significantly lower BDI scores than Group C at 13 weeks (P = 0.007). NRS scores from the treatment groups were significantly reduced compared to control at 5 (Group A and B, P <0.001) and 13 weeks (Group A, P = 0.011; B, P = 0.002).

Conclusions: Body acupuncture for 4 weeks in addition to usual care may help improve fatigue in CFS and ICF patients.

Trial registration: Clinical Research Information Service (CRIS) KCT0000508; Registered on 12 August 2012.

Keywords: acupuncture, fatigue, randomized controlled trials as topic

* Correspondence:smchoi@kiom.re.kr


Acupuncture, Moxibustion & Meridian Research Group, Korea Institute of Oriental Medicine, Daejeon, South Korea

Full list of author information is available at the end of the article



Fatigue generally refers to severe exhaustion during and after daily activities or to a lack of energy. Prolonged and repetitive fatigue seriously influences the quality of life [1]. Fatigue that continues for more than 6 months is defined as chronic fatigue, and chronic fatigue for which no medical explanation exists is classified as chronic fa-tigue syndrome (CFS) or idiopathic chronic fafa-tigue (ICF). The diagnostic criteria for CFS are as follows: (1) the indi-vidual has severe chronic fatigue for 6 or more consecutive months that is not due to ongoing exertion or other med-ical conditions associated with fatigue; (2) the fatigue sig-nificantly interferes with daily activities and work; and (3) the individual concurrently has four or more of eight specific symptoms. These symptoms include the following: (i) postexertional malaise lasting for more than 24 h; (ii) unrefreshing sleep; (iii) significant impairment of short-term memory or concentration; (iv) muscle pain; (v) multi-joint pain without swelling or redness; (vi) headaches of a new type, pattern, or severity; (vii) tender cervical or axil-lary lymph nodes; and (viii) a sore throat that is frequent or recurring. Information about CFS can be found at http://www.cdc.gov/cfs/case-definition/index.html. Cases that cannot be categorized according to the above diagnos-tic criteria are included under ICF [2, 3]. The worldwide prevalence of ICF and CFS is approximately 10 % and 1 %, respectively [4]. The causes of CFS and ICF are not clearly known. Immune regulatory dysfunction, vari-ous inflammatory conditions, neuroendocrine dysfunction, central nervous system impairments, and stress are the hypothesized causes of them. There is no definitive cure for CFS and ICF. Therefore, patients with CFS and ICF are interested in Oriental medicine or complementary and alternative medicine, and various alternative approaches have been used to treat these patients [3, 5, 6]. For this reason, the effectiveness of complementary and alternative treatments should be verified.

Acupuncture and moxibustion are among the most widely used treatments in Oriental medicine. Thus far, some systematic reviews have reported favorable outcomes regarding the effects of acupuncture and moxibustion on CFS. However, the overall finding of these reviews is that firm evidence for the effects of acupuncture and moxibus-tion is lacking because of the poor methodological quality of the studies included [7–11]. In this trial, we evaluated the effectiveness of two acupuncture methods: (1) body acupuncture, a traditional acupuncture method widely used for many years in China, Korea, and Japan, in which treatment is applied to the whole body, and (2) Sa-am acupuncture, a Korean traditional acupuncture method developed by Sa-am in the Chosun Dynasty, in which the five-phase theory and mother-child reinforcement-reduction principle are applied to the selection of points and needling manipulation [12–14]. This study aimed to

evaluate the overall effects of acupuncture treatment by comparing outcomes in a treatment group receiving body acupuncture or Sa-am acupuncture with outcomes in a control group receiving usual care.


This was a three-arm, randomized, nonblinded, trolled, and parallel-designed trial. This trial was con-ducted in four clinical research centers of South Korea from August 2012 to May 2013. The participants were recruited by each center (Gwangju, Seoul, Jecheon, and Daejeon) through advertisements in local newspapers, the websites of local universities, and posters displayed in hos-pitals. Details of the study design are available in a previ-ous publication [15]. The flow diagram and CONSORT (Consolidated Standards of Reporting Trials) checklist are provided in Additional files 1 and 2.

Ethical considerations

This study was approved by the institutional review boards of the Gwangju Oriental Hospital of Dongshin University, Kyung Hee University Hospital at Gangdong, Jecheon Oriental Hospital of Semyung University, and Daejeon Oriental Hospital of Daejeon University. All par-ticipants provided written informed consent. The study was conducted according to the principles of the Declar-ation of Helsinki [16].

Inclusion criteria

The inclusion criteria for the study were as follows [2, 17]:

1. Adult men and women aged 19 to 65 years. 2. Presenting major symptoms of continuous or

recurrent fatigue due to unknown causes of at least 6 months’duration.

3. Absence of abnormal findings in the following: blood pressure (BP) test, blood tests (hemoglobin (Hb), hematocrit (Hct), white blood cells (WBC), and glucose), biochemical marker tests (aspartate aminotransferase (AST), alanine aminotransferase (ALT), and creatinine), serum electrolyte tests (sodium (Na), potassium (K), and chloride (Cl)), thyroid function tests (TFTs) (thyroid stimulating hormone (TSH) and free thyroxine (FT4)),

pregnancy test for women of child-bearing age, chest radiography (CXR), and electrocardiography (ECG).

Test findings were considered “abnormal” with refer-ence to the following values:

a. BP: Diastolic BP≥90 mmHg (average of 2


b. Blood tests: Hb <13 or <11.5 g/dL and Hct <38 % or <36 %, for males and non-pregnant females, respectively; WBC ≥11,000/mm3 and random plasma glucose ≥200 mg/dL for all participants. c. Biochemical marker tests: AST or ALT≥50 IU/L;

creatinine≥1.5 mg/dL.

d. Electrolyte tests: Na <135 or≥145 mmol/L; K <3.5 or≥5.5 mmol/L; Cl <97 or≥110 mmol/L.

e. TFTs: TSH <0.35 or≥5.50 mIU/mL; FT4 <0.89 or≥1.76 ng/dL.

f. Pregnancy test: Urine sample positive for human chorionic gonadotropin (hCG).

g. CXR: Active pulmonary tuberculous lesions. h. ECG: Indications of heart disease requiring

treatment, such as arrhythmia, ischemic heart disease, or cardiomegaly.

4. Numeric Rating Scale (NRS) [18] score≥4 during the 7 days preceding the screening tests.

5. Providing written informed consent after being informed of the objectives and particularities of the clinical trial, and agreeing to participate in the trial.

Exclusion criteria

The exclusion criteria for the study were as follows [2, 17]:

1. History of chronic fatigue or a present illness that might trigger chronic fatigue, including (but not limited to) the following disorders:

a. Organic causes: Acute or chronic liver diseases (hepatitis, liver cirrhosis), anemia, tuberculosis, chronic lung diseases, cardiovascular diseases (heart failure, hypertension), endocrine/metabolic diseases (diabetes, hyperthyroidism, hypothyroidism, severe obesity with a body mass index (BMI) of≥35 kg/ m2), autoimmune diseases (rheumatoid arthritis, systemic lupus erythematosus, multiple sclerosis), malignant tumors, or infectious diseases.

b. Psychosocial causes: Major depression, anxiety neurosis, a recent severe stress, schizophrenia, alcoholism, or an eating disorder (anorexia nervosa, bulimia nervosa).

2. Medication with the following drugs during the preceding 2 weeks: Antihypertensive drugs,

antidepressants, antianxiety agents, sleeping pills, or antihistamines.

3. Female participants who were pregnant, breast-feeding, or planning for pregnancy.

4. Participating in other clinical trials.

5. Undertaking excessive workloads (for example, undertaking multiple jobs).

6. History of hypersensitivity reaction to acupuncture treatment.

7. Residents of collective dwelling facilities, such as social welfare institutions.

8. Failure to provide written informed consent. 9. Considered unfit for the trial by the principal

investigator because of other reasons.


A statistician used a computer program (Strategic Applications Software (SAS), version 9.1.3 (SAS Institute Inc., Cary, NC, USA) to generate the random allocation sequence. We used a stratified block randomization scheme with four institutions chosen as strata. The generated sequences were sealed in opaque envelopes and delivered to each center, where they were stored in double-locked cabinets. Randomization was conducted for participants who satisfied all selection criteria. The re-searcher opened the random allocation envelopes in order in front of the participants and assigned them to 1 of 3 groups. The clinical research coordinator allotted partici-pant identification codes and recorded them in the case report forms. The opened envelopes were stored separ-ately in double-locked cabinets.


This was a nonblinded study.


The eligible participants were allocated randomly into three groups, including Group A, Group B, or Group C. In each group, participants received their allocated treat-ment. Participants in treatment group received 10 ses-sions of acupuncture treatment for 4 weeks, 2 to 3 times a week, using stainless steel disposable needles (0.25-mm diameter, 30-(0.25-mm length; Dongbang Acupuncture Inc., South Korea). Participants were informed about the body acupuncture and Sa-am acupuncture used in this study as follows:“In this study, two types of acupuncture will be used. One type will be body acupuncture, which is based on traditional Chinese medicine (TCM). The other type will be Sa-am acupuncture, a traditional Korean acupuncture method.”The practitioners, doctors of Korean medicine having more than 3 years of prac-tical experience, participated in a training session to en-sure that treatments were administered consistently. The practitioners were allowed to communicate with the par-ticipants about treatment, lifestyle, etc.

Group A (body acupuncture plus usual care group)


1. GV20 (forward horizontal needling up to a depth of 0.5 to 1.5 cun).

2. Bilateral GB20 (perpendicular needling toward the opposite-side eye up to a depth of 0.3 to 1.0 cun). 3. Bilateral BL11, BL13, BL15, BL18, BL20, and BL23

(downward oblique or horizontal needling up to a depth of 0.5 to 1.0 cun).

All needles were retained for 15 min without twirling. In TCM, theqimoves through the meridians at a rate of 6 cun per respiratory cycle. The length of the meridians and collaterals equals 1620 cun. Thus, 270 (1620/6) re-spiratory cycles are required for qi to make one cycle through the body. If an adult breathes 18 times per min, 15 min (270/18) are needed for qi to make one cycle [20]. Therefore, the needle retaining time was 15 min.

Group B (Sa-am acupuncture plus usual care group)

The participants assigned to Group B received treat-ment at the following acupoints while sitting on a chair. The acupoints were selected based on a published lit-erature [13]:

1. LU8 (downward oblique needling up to a depth of 0.5 to 0.7 cun)

2. SP3 (upward oblique needling up to a depth of 0.3 to 0.5 cun)

3. HT8 (downward oblique needling up to a depth of 0.3 to 0.5 cun)

4. BL15 (upward oblique or horizontal needling up to a depth of 0.5 to 1.0 cun)

5. CV6 (downward oblique needling up to a depth of 0.5 to 1.0 cun).

All needles were retained for 15 min after being twirled nine times (at LU8, SP3, and HT8) or six times (at BL15 and CV6).

Group C (usual care alone group)

The participants randomized to Group C did not receive acupuncture treatment; however, they did receive the ne-cessary usual care [21, 22].

Concomitant treatments

In all groups, usual care consisted of the use of any form of concomitant treatment, including Oriental medicine treatments (for example, acupuncture for conditions other than chronic fatigue, moxibustion, herbal medicine), Western medicine (for example, conventional medication, injections), or self-care (for example, dietary supplements, exercise). All groups were provided with educational ma-terials about chronic fatigue.

Primary outcome

The Fatigue Severity Scale (FSS) score at 5 weeks after randomization was used as the primary endpoint. The FSS included nine questions, scored on a scale of 1 to 7, which were used to evaluate the participant’s fatigue level during the previous week [23, 24].

Secondary outcomes

A short form of the Stress Response Inventory (SRI), consisting of 22 questions covering the following three categories, was used to evaluate stress: somatization (nine items), depression (eight items), and anger (five items) [25]. The Beck Depression Inventory (BDI) con-sisted of 21 questions assessing the cognitive, emotional, motivational, and somatic symptoms of depression. Each item was scored on a 4-point scale from 0 to 3 [26]. The NRS used a horizontal straight line with numbers from 0 to 10 and indications of“no fatigue”on the far left and

“most severe fatigue experienced” on the far right end. The participants were asked to select the number that represented the level of their own fatigue [18]. The EuroQol-5 Dimension (EQ-5D) tool assessed health-related quality of life. It consisted of the EQ-Visual Analogue Scale (VAS), which scored the participant’s health condition on a straight line marked from 0 to 100, and the EQ-5D descriptive system, which inquired about five dimensions of the participant’s current health status. Information about the EQ-5D can be found at http://www.euroqol.org/.

Other assessments

We assessed the treatment expectancy survey [27] com-pleted by each participant, and confirmed that the Centers for Disease Control and Prevention (CDC)’s diagnostic criteria for CFS [2] was fulfilled.

Adverse events

Practitioners recorded all unexpected and unintended responses as reported by each participant on an adverse event report form. The relationship between acupunc-ture treatment and adverse events was graded from 1 to 6 (1 = definitely related, 2 = probably related, 3 = pos-sibly related, 4 = probably not related, 5 = definitely not related, and 6 = unknown).

Statistical analysis


(150 in total). Details of the sample size calculation are available in a previous publication [15]. A computer pro-gram (SAS, version 9.1.3) was used to perform the analysis. The hypothesis of this study was as follows:H0:

μ1 = μ3, μ2 = μ3, H1 : not H0 (μ1, FSS mean score for

Group A at 5 weeks after randomization; μ2, FSS mean

score for Group B at 5 weeks after randomization; and μ3, FSS mean score for Group C at 5 weeks after

randomization). The analysis set consisted of a full ana-lysis set (FAS; that is, the set of participants who were as close as possible to the intention-to-treat (ITT) principle) and a per-protocol set (PPS; that is, the set of participants who were more compliant with the protocol) [28]. The FAS was used for the main analysis.

A mixed model for repeated measures (MMRM) method was used to determine the differences between the experimental groups and the control group; the treatment, visit time, and institution were the fixed fac-tors, and the participant was the random factor [29]. Additionally, an analysis of covariance (ANCOVA) was performed by replacing the missing data using the last observation carried forward (LOCF) method, and the re-sults were compared with the rere-sults of the MMRM method. In ANCOVA, the primary and secondary out-comes at 5 and 13 weeks after randomization were the dependent variables, the baseline value was the covariate, and the group and the institution were the fixed factors. The analyses were performed at the 5 % significance level. When the ANCOVA produced significant results, a post-hoc analysis was conducted to determine which groups showed differences. For the socio-demographic character-istics and treatment expectancy, the mean and standard deviation were determined from the continuous data, and the frequency and percentage were determined from the categorical data. The subgroup analysis of FSS was per-formed in CFS and ICF groups.


Flow of participants

We selected 150 participants from 195 screened individ-uals. Gwangju, Kyung Hee, and Jecheon hospitals re-cruited 45 participants each, and Daejeon center recruited 15 participants. The selected participants were randomly allocated to a treatment group (Group A or B) or the control group (Group C). Among the participants, three from Group A, two from Group B, and two from Group C dropped out of the study (see Additional file 1). The reasons the participants dropped out of the study are presented in Additional file 1.

Baseline characteristics

The sociodemographic characteristics of the participants are shown in Table 1. No significant differences were ob-served between the groups regarding age, sex, height,

weight, education level, occupation, marital status, meal regularity, exercise, smoking, and use of alcohol. Accord-ing to the CFS questionnaire, 63 participants (42 %) could be classified as having CFS. The frequency of par-ticipants with CFS was similar within the different groups. The treatment expectancy was significantly dif-ferent between the treatment groups and the control group (Table 1).

Findings for the primary outcome

The FSS score from Group A at 5 weeks after randomization was significantly lower than that of Group C (Table 2).

Findings for the secondary outcomes

The FSS scores at 13 weeks after randomization were not different between the groups. The SRI-short form scores were significantly lower in the treatment groups than in the control group at both 5 and 13 weeks after randomization. Although no difference was observed in the BDI score among the groups at 5 weeks after randomization, the score from Group B was significantly reduced in comparison to Group C at 13 weeks after randomization. The NRS scores from the treatment groups were significantly reduced compared to those from the control group at both 5 and 13 weeks after randomization. The EQ-5D did not show any differ-ences among the groups at 5 and 13 weeks after randomization (Table 2).

Sensitivity analysis

After processing the missing values with the LOCF method, the results of the ANCOVA indicated that the scores from the FSS, SRI-short form, BDI, and NRS were significantly reduced in the treatment groups compared to the control group at both 5 and 13 weeks after randomization. The EQ-5D was significantly different between Group A and C at 5 weeks after randomization and between both treatment groups and the control group at 13 weeks after randomization (Table 3).

The results of the PPS analysis were similar to those of the FAS. However, the SRI-short form score at 13 weeks after randomization was not significantly different be-tween Group A and C (Table 4).

The FSS score at 5 weeks after randomization, per-formed on the FAS after correcting for the treatment expectancy in each group, showed a significant differ-ence between Group A and C (P = 0.028). A signifi-cant difference was not observed between Group B and C (P = 0.129).

Subgroup analysis


group comprised 28 patients in Group A, 28 in Group B, and 31 in Group C. Results of MMRM analysis of FSS score in each group and results of the subgroup-treatment effect interaction test are presented in Table 5.

Concomitant treatments

Usual care methods for fatigue reported during the trial period were nutritional supplements and exercise (working out, walking, riding a stationary bicycle, swimming, and hiking). In terms of individual groups, Group A had two patients who took nutritional sup-plements, three patients who performed exercise, and one patient who combined nutritional supplements with exercise; whereas Group B had two patients who took nutritional supplements, one patient who re-ceived a nutritional supplement injection, and three patients who performed exercise. In Group C, two

patients took nutritional supplements and three pa-tients performed exercise. None of the participants in Group A or C received any additional acupuncture during the study period, other than the therapy pro-vided as part of the study. One participant in Group B had received acupuncture for lower back pain, which was unrelated to fatigue.

Adverse events


A total of 10 adverse events were reported by 10 partici-pants. Of these events, two were determined to be linked either to acupuncture or possibly associated with acupunc-ture, and the symptom severity was mild in both cases. All participants who experienced adverse events improved during the research period and continued to partici-pate in the experiment. Although two serious adverse events were reported, they were not related to the Table 1Baseline characteristics of study participants

Variable Group A (n = 49) Group B (n = 51) Group C (n = 50)

Age, years 44.9 ± 11.4 39.6 ± 11.5 41.1 ± 11.9

Sex, M/F 15 (30.6)/34 (69.4) 18 (35.3)/33 (64.7) 19 (38.0)/31 (62.0)

Height, cm 162.2 ± 6.8 165.3 ± 8.9 164.4 ± 8.8

Weight, kg 59.8 ± 10.8 63.0 ± 12.5 62.8 ± 12.4

Duration of chronic fatigue

6 months to 1 year 17 (34.7) 13 (25.5) 18 (36.0)

1 year to 5 years 17 (34.7) 23 (45.1) 24 (48.0)

>5 years 15 (30.6) 15 (29.4) 8 (16.0)

Previous treatment

Medication 0 (0.0) 2 (3.9) 0 (0.0)

Oriental medicine treatment 2 (4.1) 4 (7.8) 1 (2.0)

Therapeutic exercise 1 (2.0) 3 (5.9) 0 (0.0)

Psychotherapy 0 (0.0) 0 (0.0) 0 (0.0)

Other treatment 6 (12.2) 4 (7.8) 5 (10.0)

Chronic fatigue syndrome, M/F 3 (6.1)/18 (36.7) 6 (11.8)/17 (33.3) 6 (12.0)/13 (26.0)

Education >12 years 28 (57.1) 39 (76.5) 35 (70.0)

Job 36 (73.5) 39 (76.5) 40 (80.0)

Marriage 38 (77.6) 32 (62.7) 37 (74.0)

Irregular meals 18 (36.7) 18 (35.3) 19 (38.0)


Yes 29 (59.2) 24 (47.1) 23 (46.0)

Weekly average frequency 3.4 ± 2.0 2.8 ± 1.5 3.4 ± 1.6

Average time per session, h 1.2 ± 0.9 1.4 ± 0.6 1.1 ± 0.5

Tobacco use 8 (16.3) 10 (19.6) 8 (16.0)

Alcohol use 23 (46.9) 21 (41.2) 21 (42.0)

Treatment expectancy 6.9 ± 1.5 6.1 ± 1.4 4.5 ± 2.4

Yes (6 to 9) 40 (81.6) 37 (72.5) 18 (36.0)

No (1 to 5) 9 (18.4) 14 (27.5) 32 (64.0)


acupuncture (that is, surgery for a nasal problem and hospitalization because of a traffic accident) (Table 6).


After 10 treatment sessions in 4 weeks, the mean FSS score in Group A improved significantly compared to

Group C. This result is consistent with findings in a pre-liminary study on body acupuncture [12]. A previous study reported that the optimal FSS cut-off point to de-marcate between fatigue and normal groups was 3.22 (sensitivity 84.1 %, specificity 85.7 %) [24]. Using this cut-off point as the reference standard, the mean post-Table 2Results of mixed model for repeated measures (MMRM) analysis of full analysis set (FAS)

Outcome Group Baseline 5 weeks 13 weeks

Mean (SD) Mean (SD) Pa LSMD (95 % CI)a Mean (SD) Pa LSMD (95 % CI)a

FSS A 4.67 (1.27) 3.38 (1.01) 0.023 0.43 (0.81,0.05) 3.34 (1.17) 0.075 0.36 (0.74, 0.03)

B 4.75 (1.07) 3.58 (1.12) 0.151 0.29 (0.66, 0.08) 3.51 (1.19) 0.290 0.23 (0.62, 0.15)

C 4.48 (1.27) 4.47 (1.18) - - 4.28 (1.24) -

-SRI-short form A 62.56 (17.95) 42.21 (14.18) 0.032 6.01 (11.58,0.44) 42.28 (14.33) 0.037 6.19 (12.06,0.31)

B 55.67 (14.40) 42.10 (13.66) <0.001 9.33 (14.72,3.95) 39.81 (13.55) <0.001 10.80 (16.49,5.12)

C 60.04 (18.16) 56.47 (18.03) - - 57.41 (20.46) -

-BDI A 16.41 (8.36) 9.02 (6.92) 0.252 1.56 (3.94, 0.83) 9.63 (6.39) 0.231 1.68 (4.16, 0.81)

B 15.00 (7.67) 8.88 (7.66) 0.052 2.34 (4.70, 0.02) 7.89 (7.15) 0.007 3.25 (5.71,0.80)

C 15.30 (7.05) 13.36 (6.39) - - 14.28 (8.54) -

-NRS A 6.59 (1.44) 4.42 (1.98) <0.001 0.92 (1.45,0.40) 4.77 (2.22) 0.011 0.70 (1.26,0.14)

B 6.55 (1.27) 4.52 (1.70) <0.001 −0.90 (−1.42,−0.39) 4.51 (1.95) 0.002 −0.85 (−1.40,−0.29)

C 6.40 (1.40) 6.53 (1.36) - - 6.42 (1.69) -

-EQ-5D A 0.84 (0.10) 0.91 (0.11) 0.909 −0.01 (−0.04, 0.03) 0.92 (0.11) 0.844 0.01 (−0.03, 0.04)

B 0.87 (0.09) 0.91 (0.09) 0.522 0.01 (0.02, 0.05) 0.94 (0.08) 0.074 0.03 (0.00, 0.07)

C 0.88 (0.11) 0.88 (0.10) - - 0.87 (0.15) -

-LSMD, least squares mean difference; CI, confidence interval; FSS, fatigue severity scale; SRI-short form, short form of the stress response inventory; BDI, Beck depression inventory; NRS, numeric rating scale; EQ-5D, EuroQol-5 dimension.



value with 95 % CI, Dunnett’s adjustment

Table 3Results of analysis of covariance (ANCOVA) of full analysis set (FAS)

Outcome Group Baseline 5 weeks 13 weeks

Mean (SD) Mean (SD) Pa LSMD (95 % CI)a Mean (SD) Pa LSMD (95 % CI)a

FSS A 4.67 (1.27) 3.39 (1.12) <0.001 1.14 (1.57,0.71) 3.32 (1.17) <0.001 1.01 (1.48,0.55)

B 4.75 (1.07) 3.62 (1.13) <0.001 0.95 (1.38,0.52) 3.58 (1.20) <0.001 0.80 (1.26,0.34)

C 4.48 (1.27) 4.43 (1.19) - - 4.24 (1.25) -

-SRI-short form A 62.56 (17.95) 43.07 (15.49) <0.001 15.24 (21.32,9.16) 43.61 (15.31) <0.001 15.01 (21.96,8.06)

B 55.67 (14.40) 42.65 (14.24) <0.001 11.58 (17.45,5.72) 40.19 (13.57) <0.001 14.97 (21.67,8.26)

C 60.04 (18.16) 56.82 (18.10) - - 57.36 (20.30) -

-BDI A 16.41 (8.36) 9.43 (6.98) <0.001 5.03 (7.60,2.47) 10.02 (6.40) <0.001 4.74 (7.56,1.91)

B 15.00 (7.67) 9.04 (7.61) <0.001 −4.63 (−7.17,−2.10) 8.20 (7.01) <0.001 −5.88 (−8.67,−3.09)

C 15.30 (7.05) 13.84 (6.80) - - 14.22 (8.32) -

-NRS A 6.59 (1.44) 4.56 (2.09) <0.001 −1.96 (−2.72,−1.20) 4.78 (2.32) <0.001 −1.64 (−2.51,−0.78)

B 6.55 (1.27) 4.58 (1.70) <0.001 −1.93 (−2.68,−1.18) 4.59 (1.92) <0.001 −1.81 (−2.67,−0.96)

C 6.40 (1.40) 6.46 (1.39) - - 6.34 (1.70) -

-EQ-5D A 0.84 (0.10) 0.96 (0.11) 0.025 0.04 (0.00, 0.08) 0.91 (0.11) 0.008 0.06 (0.01, 0.11)

B 0.87 (0.09) 0.91 (0.09) 0.107 0.03 (−0.01, 0.07) 0.93 (0.09) 0.005 0.06 (0.02, 0.11)

C 0.88 (0.11) 0.88 (0.09) - - 0.87 (0.15) -

-LSMD, least squares mean difference; CI, confidence interval; FSS, fatigue severity scale; SRI-short form, short form of the stress response inventory; BDI, Beck depression inventory; NRS, numeric rating scale; EQ-5D, EuroQol-5 dimension



treatment FSS score for Group A (3.38) can be considered a near-normal value. Group B demonstrated improvement after 10 treatment sessions in 4 weeks, with an FSS score of 3.58. However, the change was not statistically signifi-cant and contradicted findings in a preliminary study of Sa-am acupuncture [13]. The discrepancy between the re-sults of the present and preliminary study may be due to the higher proportion of participants (approximately 28 %) with fatigue morbidity lasting less than 6 months in the preliminary study. The shorter duration of morbidity in the preliminary study likely eased the task of alleviating symptoms compared to the longer duration in the present study. Additionally, in the preliminary study, a sham acu-puncture group was used as a control, and the Multiple Fatigue Scale (MFS) was used for assessment, neither of which was employed in this study. The MFS is a recon-stituted fatigue assessment tool developed in 2000 and

based on the Fatigue Assessment Inventory [30], and its correlation with the FSS has not yet been determined. These differences in the duration of symptoms, control groups, and assessment tools likely contributed to dif-ferent results between this study and the preliminary study. When a significant result is required for only one of multiple primary endpoints in order to consider a trial positive, each endpoint must be tested with a sig-nificance level that has been corrected for multiplicity [31]. For the two primary endpoint tests in this study, we corrected type I errors using Dunnett’s method [32], and based on the results of the hypothesis tests, one of two null hypotheses was rejected. Therefore, the results of our trial can be considered positive.


In the auxiliary parameters, the FSS score in Group A decreased to 3.34 at 13 weeks after randomization; how-ever, this trend was not significantly different from results Table 4Results of mixed model for repeated measures (MMRM) analysis of per-protocol set (PPS)

Outcome Group Baseline 5 weeks 13 weeks

Mean (SD) Mean (SD) Pa LSMD (95 % CI)a Mean (SD) Pa LSMD (95 % CI)a

FSS A 4.70 (1.22) 3.38 (1.10) 0.017 0.45 (0.84,0.07) 3.34 (1.17) 0.074 0.36 (0.75, 0.03)

B 4.74 (1.09) 3.58 (1.12) 0.090 0.33 (0.71, 0.04) 3.51 (1.19) 0.230 0.26 (0.64, 0.12)

C 4.52 (1.26) 4.47 (1.18) - - 4.24 (1.22) -

-SRI-short form A 62.59 (17.77) 42.21 (14.18) 0.039 5.92 (11.58,0.27) 42.28 (14.33) 0.063 5.69 (11.64, 0.26)

B 55.50 (14.23) 42.10 (13.66) <0.001 9.22 (14.69,3.76) 39.81 (13.55) <0.001 10.34 (16.10,4.58)

C 59.26 (18.34) 56.47 (18.03) - - 56.67 (20.11) -

-BDI A 16.59 (8.60) 9.02 (6.92) 0.338 1.39 (3.82, 1.04) 9.64 (6.39) 0.386 1.35 (3.88, 1.18)

B 15.12 (7.67) 8.88 (7.66) 0.086 2.14 (4.54, 0.25) 7.89 (7.15) 0.018 2.92 (5.41,0.43)

C 14.91 (6.78) 13.36 (6.39) - - 14.00 (8.42) -

-NRS A 6.57 (1.42) 4.42 (1.98) <0.001 1.01 (1.54,0.48) 4.77 (2.22) 0.006 0.76 (1.33,0.20)

B 6.53 (1.28) 4.52 (1.70) <0.001 −0.98 (−1.50,−0.46) 4.51 (1.95) <0.001 −0.90 (−1.46,−0.34)

C 6.47 (1.38) 6.53 (1.36) - - 6.38 (1.69) -

-EQ-5D A 0.84 (0.10) 0.91 (0.11) 0.948 0.00 (−0.04, 0.03) 0.92 (0.11) 0.785 0.01 (−0.03, 0.05)

B 0.87 (0.10) 0.91 (0.09) 0.494 0.01 (−0.02, 0.05) 0.94 (0.08) 0.067 0.03 (0.00, 0.07)

C 0.88 (0.11) 0.88 (0.10) - - 0.87 (0.15) -

-LSMD, least squares mean difference; CI, confidence interval; FSS, fatigue severity scale; SRI-short form, short form of the stress response inventory; BDI, Beck depression inventory; NRS, numeric rating scale; EQ-5D, EuroQol-5 dimension


value with 95 % CI, Dunnett’s adjustment

Table 5Results of the mixed model for repeated measures (MMRM) analysis of fatigue severity scale (FSS) score in the subgroups

Subgroup Baseline 5 weeks 13 weeks

Mean (SD) Mean (SD) Pa LSMD (95 % CI)a Interactionb Mean (SD) Pa LSMD (95 % CI)a Interactionb

CFS (n = 63) A 5.50 (0.94) 3.62 (1.22) 0.993 0.02 (−0.51, 0.56) 0.585c 3.43 (1.21) 0.924 0.08 (0.64, 0.48) 0.854c

B 5.06 (0.87) 3.75 (1.00) 0.768 −0.14 (−0.66, 0.38) 3.95 (1.05) 0.901 −0.09 (−0.64, 0.46)

C 4.74 (0.81) 4.39 (0.97) - - 4.44 (1.23) -

-ICF (n = 87) A 4.06 (1.14) 3.21 (0.99) 0.008 −0.68 (−1.20,−0.16) 3.27 (1.15) 0.078 −0.48 (−1.01, 0.04)

B 4.50 (1.16) 3.44 (1.21) 0.188 −0.37 (−0.89, 0.14) 3.16 (1.20) 0.235 −0.35 (−0.87, 0.17)

C 4.32 (1.47) 4.51 (1.29) - - 4.19 (1.25) -

-LSMD, least squares mean difference; CI, confidence interval; CFS, chronic fatigue syndrome; ICF, idiopathic chronic fatigue



in the control group. Therefore, the effects of body acupuncture therapy appears to have been short-term. Group A showed significant improvements in both the SRI-short form and NRS scores at 5 and 13 weeks after randomization. Group B showed significant improvements in the SRI-short form and NRS scores at 5 and 13 weeks after randomization, and in the BDI score at 13 weeks after randomization. Both treatment groups showed im-provements in stress or depression, symptoms that are closely associated with fatigue, suggesting that body acu-puncture and Sa-am acuacu-puncture may positively influence fatigue in multidimensional or comprehensive aspects. Both Groups A and B showed a significantly lower NRS score, suggesting that body acupuncture and Sa-am acu-puncture may positively influence the intensity of fatigue. Reportedly, the FSS assesses the impact rather than the in-tensity of fatigue [33, 34]. Thus, the NRS may measure the intensity of fatigue more efficiently than the FSS. Based on the analysis of the SRI-short form, NRS, and BDI results, it was difficult to conclude that Sa-am acupuncture had no effect to improve fatigue. Though it was beyond the scope of this study, the EQ-5D-assisted measurements of the health-related quality of life were performed as a cost-utility analysis of an economic evaluation. The results showed that neither treatment group exhibited significant improvements at 5 and 13 weeks after randomization. This might be because the treated participants did not ex-perience any changes in their quality of life or because the EQ-5D was a generic instrument that was not disease-specific and, thus, was not sensitive enough to respond to changes in fatigue severity [35]. Similar to the primary

evaluation variable analysis, the results obtained using Dunnett’s test were presented for the secondary evaluation variables. However, type I errors were not corrected for all the comparisons in this trial. All comparisons, except for the primary analysis designated before beginning the study, pose a risk of increased type I errors due to multiple tests. The results of secondary analyses do not provide an-swers to the research question; they should be used for obtaining useful information from the trial [31].

The natural history of chronic fatigue/CFS is still of concern: many patients reported either residual symp-toms or disability at follow-up and a progression or worsening of symptoms was seen in some. [36]. There-fore, it was difficult to specify a standard for recurrent fatigue in the inclusion criteria. To date, no specific diagnostic test has been established for CFS [37]; as a re-sult, CFS is diagnosed on the basis of exclusion, subject-ive clinical interpretation, and patient self-report [38]. In this trial, we included participants by relying on exclu-sion based on laboratory tests and case definitions. In addition, we used subjective questionnaires when evalu-ating the outcomes.


At the beginning of this study, we had planned to process the missing data by the LOCF method. However, since the LOCF method can present problems, such as introducing a bias from incorrect estimation of the vari-ance in effect estimates, the main analysis method was changed to the MMRM approach, and the LOCF ANCOVA method was added as a secondary analysis. The results from the two methods were then compared, and we found that the LOCF ANCOVA underestimated Table 6Adverse events

Symptom Patient

numbers Start date

End date Intensity Causal relationship

Action related to the intervention

Treatment Outcome

Redness and itching around CV6

1 20120918 20120920 Mild Probably No change None Cured

Right thumb numbness, pain

1 20120913 20121120 Mild Possibly No change None Improved

Nasal obstruction 1 20121031 20121031 Serious adverse event

Definitely not

No change Medication, non-drug treatment


Left buttock pain (traffic accident)

1 20120928 20121006 Serious adverse event

Definitely not

No change Medication Improved

Coccyx fracture 1 20121213 Unknown Moderate Definitely not

No change Medication Improved

Right shoulder pain 1 20121105 20121130 Mild Definitely not

No change Medication Improved

Left second finger pain

1 20121101 20121203 Mild Definitely


No change Medication Improved

Upper respiratory infection

3 20121123 20121201 Mild Probably


No change None Improved

20121127 20121203 Mild Definitely not

No change None Improved

20121021 20121027 Moderate Definitely not


thePvalue. This is consistent with the results of previous studies noting that conservative behavior of LOCF is not guaranteed. Therefore, care should be taken when using the LOCF method for analysis of clinical trial data [39, 40]. Because disease severity is different for CFS and ICF, post-hoc subgroup analysis was performed to investigate differences in the therapeutic effects in each group (CFS or ICF). The interpretation of subgroup analysis does not ascertain whether the therapeutic effects exist in each sub-group, but tries to ascertain whether the interaction between the subgroups and the therapeutic effects is sig-nificant. Since there was no interaction between the sub-groups and therapeutic effects in the present study, acupuncture appears to have been equally effective in all the subgroups. However, because this was an exploratory subgroup analysis, the reproducibility needs to be con-firmed in other trials [41].

Although there are no traditional Chinese medical terms that describe CFS and ICF, the concepts may be similar to consumptive disease (a general term for chronic deficiency diseases due to consumption of yin,yang,qi, and blood) or fatigue due to overexertion (a diseased state caused by overexertion, manifested as fatigue, lassitude, shortness of breath upon exertion, and spontaneous sweating) [14, 42]. It was reported that the visceral pattern identification of CFS/ICF can be classified into spleen-lung qi deficiency, spleen-kidney yang deficiency, heart-spleen blood defi-ciency, and liver-kidneyyindeficiency [42, 43]. However, we did not apply pattern identification because we could not find a tool that was sufficiently validated.

In this trial, the acupoints used in Group A were se-lected to relieve the mind, clear the spirit, tranquilize the body to free it from tension, and regulate the functions of the internal organs [12]. Sa-am acupuncture is largely di-vided into fixed pattern, transformed pattern, and experi-enced prescription. Transformed pattern (LU8, SP3, HT8) and experienced prescription (BL15, CV6) were applied to the participants in Group B [44, 45]. In TCM, needle ther-apy harmonizes theqithat flows through the meridians of the body. Harmonizing the qi is effective when theqi is obtained in response to acupuncture needling (de qi, needling sensation). Among the methods for harmonizing theqi,cui qior hastening theqi, is a way of facilitatingde qiifqidoes not come when it should, whereasxing qior moving the qi, can aid in transferring the needling re-sponse to the disease location.Bu xie, or supplementation and draining, is a method of reinforcing what is lacking and reducing what is excessive. Manual acupuncture can be categorized as basic, assistant,bu xie, as well as com-prehensivebu xiemanual. The basic manual method is a simple technique that involves induction ofcui qiandxing qi, as well asbu xie. This technique includes twirling and needle retention. Twirling involves turning the needle to the left and to the right, whereas needle retention is

designed to maintain the needle at a specific point for a period of time. These basic manual methods can be ap-plied as basic bu xie manual acupuncture techniques. Among the basic bu xiemanual methods, the directional method includes‘bu’, which is supplementation via inser-tion of the needle in the direcinser-tion of the needled channel flow and‘xie’, which is draining via insertion of the needle in the direction opposite to the channel flow. The nine-six method, which is another basic bu xie manual method, distinguishes the number of movements involved in twir-ling or needle retention, where the number 9 represents

‘bu’and 6 represents ‘xie’[14, 46, 47]. If one locates the point accurately, qi may be obtained immediately after one inserts the needle to the right depth in the right direc-tion [47]. In the present study, needling was performed in Group A by obtaining accurate acupoints and a suitable depth of needling, along with proper perception by the acupuncturist. Therefore, although twirling and bu xie were not performed in Group A, it is believed that theqi was correctly obtained. In the original literature on Sa-am acupuncture, detailed descriptions ofbu xiewere not pro-vided, presumably because it was a general contemporary bu xiemethod or because it was a method based on the traditionalbu xiemethod from Neijing [48]. In Group B, needling was performed by the manual methods (twirling, needle retention, and directional methods) used in the preliminary study [13], as well as the nine-six method added in this trial.


the two sets were similar, confidence in the trial outcomes was increased [28]. Third, adverse events were reported in detail. We described the symptoms and signs, dates of presentation and disappearance, causal relationships with test interventions, acupuncture-related actions, treat-ments, and results. During the clinical trial period, 2 of the 150 participants (1.3 %) showed acupuncture-related adverse events. The safety of acupuncture therapy has been reported previously [49–51] and is confirmed herein. This study has some weaknesses. First, the effectiveness of acupuncture in this study included both specific effects and context effects (expectation, patient-practitioner rela-tionship, etc.) [52]. Although the results compensated for treatment expectations, which are presented in the results section as a reference, the specific effects of acupuncture could not be isolated owing to the study design. It was re-ported that the identities of CFS patients are challenged when the legitimacy of their illness is questioned, and doc-tors can support patients in coping with their disease by encouraging them instead of casting suspicion upon them [53]. In the present study, free communication between the patients and the acupuncturist was allowed. However, acupuncturists did not actively provide attention, advice, or empathy. Therefore, it is thought that the patient-practitioner relationship did not significantly impact the treatment effects. Second, there is lower internal validity owing to the allowance of individualized usual care (ex-cept acupuncture therapy for chronic fatigue). Although the percentage of participants who reported using usual care during the trial period was not high (Group A: 12 %; B: 12 %; and C: 10 %), its effect on the study’s outcomes could not be evaluated. Third, fatigue could not be evalu-ated from multidimensional aspects. The FSS is one of the best known and most used fatigue scales [33, 54]. Since the reliability and validity of the Korean-language version of the FSS has been proven [24], it was used as the pri-mary evaluation instrument for this study. Although the FSS consists of multiple items, it is still a one-dimensional scale and, therefore, is not sufficient for the evaluation of complex aspects of fatigue such as its physical, psycho-logical, and social dimension features [55]. However, there is no instrument among the multidimensional fatigue scales that is used globally and that has been translated into Korean and tested for reliability and validity. In con-sequence, we did not use a multidimensional instrument.

Although this study did not conclusively demonstrate the effectiveness of acupuncture for CFS and ICF, the re-sults could serve as a reference in the treatment of pa-tients with chronic fatigue of unknown causes.


The results of this study suggest that 4 weeks of body acupuncture therapy added to usual care can improve fatigue symptoms of CFS and ICF patients.

Additional files

Additional file 1:Flow diagram, Study flow diagram.(DOCX 43 kb)

Additional file 2:CONSORT (Consolidated Standards of Reporting Trials) checklist, CONSORT 2010 checklist with the non-pharmacological trials extension to CONSORT.(DOCX 26 kb)


ALT:alanine aminotransferase; ANCOVA: analysis of covariance; AST: aspartate aminotransferase; BDI: Beck Depression Inventory; BMI: body mass index; BP: blood pressure; CDC: Centers for Disease Control and Prevention; CFS: chronic fatigue syndrome; CRIS: Clinical Research Information Service; CXR: chest radiography; ECG: electrocardiography; ECT: explanatory clinical trial; EQ-5D: EuroQol-5 Dimension; FAS: full analysis set; FSS: Fatigue Severity Scale; FT4: free thyroxine; Hb: hemoglobin; hCG: human chorionic gonadotropin; Hct: hematocrit; ICF: idiopathic chronic fatigue; ITT: intention to treat; LOCF: last observation carried forward; MFS: Multiple Fatigue Scale; MMRM: mixed model for repeated measures; NRS: Numeric Rating Scale; PCT: pragmatic clinical trial; PPS: per-protocol set; SAS: Strategic Applications Software; SRI: Stress Response Inventory; TCM: traditional Chinese medicine; TFT: fhyroid function test; TSH: thyroid stimulating hormone; VAS: Visual Analogue Scale; WBC: white blood cells.

Competing interests

The authors declare that they have no competing interests.


JEK contributed to the conception and design of the study and wrote the manuscript. BKS, JBC, HJK, THK, JHK, KMS, SL, YHB, and KEH participated in the design of the study and helped to draft the manuscript. MHL and KWK conducted statistical design of the study and wrote part of the statistical methods. SYJ, ARK, MSS, HJJ, HJP, and SPK provided technical advice and contributed to a critical review of the manuscript. SMC participated in the design of the study as the principal investigator and provided a critical review of the manuscript. All authors read and approved the final manuscript.


This study was supported by the Korea Institute of Oriental Medicine (K12010 and K15122). The funders had no role in design, in the collection, analysis, and interpretation of data; in the writing of the manuscript; or in the decision to submit the manuscript for publication. The authors would like to acknowledge the following people for their help in the study: Gwang-Chen Park and Jae-Hong Kim at Gwangju Oriental Hospital and Yu-Rim Park at Jecheon Oriental Hospital gave suggestions for addressing problems encountered during the trial period, and Min-Jung Kim and Pil-Kun Kim at Kyung Hee University Hospital at Gangdong, and Yeon-Hee Ryu at Korea Institute of Oriental Medicine, provided helpful advice on the research design.

Author details

1Acupuncture, Moxibustion & Meridian Research Group, Korea Institute of Oriental Medicine, Daejeon, South Korea.2Department of Acupuncture & Moxibustion, Kyung Hee University Hospital at Gangdong, Seoul, South Korea.3Department of Oriental Rehabilitation Medicine, Gwangju Oriental Hospital of Dongshin University, Gwangju, South Korea.4Department of Oriental Gynecology, Jecheon Oriental Hospital of Semyung University, Jecheon, South Korea.5College of Korean Medicine, Gachon University, Seongnam, South Korea.6Department of Acupuncture & Moxibustion, Kyung Hee University Medical Center, Seoul, South Korea.7Department of Acupuncture & Moxibustion, Daejeon Oriental Hospital of Daejeon University, Daejeon, South Korea.8Department of Korean Medicine, Nurije Korean Medical Clinic, Daejeon, South Korea.

Received: 1 February 2015 Accepted: 9 July 2015



2. Fukuda K, Straus SE, Hickie I, Sharpe MC, Dobbins JG, Komaroff A. The chronic fatigue syndrome: a comprehensive approach to its definition and study. International Chronic Fatigue Syndrome Study Group. Ann Intern Med. 1994;121:953–9.

3. Adams D, Wu T, Yang X, Tai S, Vohra S. Traditional Chinese medicinal herbs for the treatment of idiopathic chronic fatigue and chronic fatigue syndrome. Cochrane Database Syst Rev.


4. Son CG. Review of the prevalence of chronic fatigue worldwide. J Korean Oriental Med. 2012;33:2533.

5. Afari N, Buchwald D. Chronic fatigue syndrome: a review. Am J Psychiatry. 2003;160:221–36.

6. Choi DH, Kim CH, Shin HC, Park YW, Sung EJ, Lee KH. Patterns of complementary and alternative medicine therapies in patients with chronic fatigue or pain. Korean J Farm Med. 2009;30:182–9 [article in Korean]. 7. Wang YY, Li XX, Liu JP, Luo H, Ma LX, Alraek T. Traditional Chinese medicine

for chronic fatigue syndrome: a systematic review of randomized clinical trials. Complement Ther Med. 2014;22:82633.

8. Zhang W, Peng WN, Liu ZS. Acupuncture for chronic fatigue syndrome: a systematic review. J Evidence-Based Med. 2009;9:41–7 [article in Chinese]. 9. Wang JJ, Song YJ, Wu ZC, Chu XO, Wang XH, Wang XJ, et al. A meta

analysis on randomized controlled trials of acupuncture treatment of chronic fatigue syndrome. Zhen Ci Yan Jiu. 2009;34:421–8 [article in Chinese].

10. Cheng ZD, Chen YG, Zhang T, Che XJ. Systematic review on acupuncture and moxibustion treatment of chronic fatigue syndrome. Chin J Inf Tradit Chin Med. 2011;18:30–2 [article in Chinese].

11. Wang T, Zhang Q, Xue X, Yeung A. A systematic review of acupuncture and moxibustion treatment for chronic fatigue syndrome in China. Am J Chin Med. 2008;36:1–24.

12. Kim JE, Kang KW, Kim AR, Kim JH, Kim TH, Park HJ, et al. Acupuncture for chronic fatigue syndrome and idiopathic chronic fatigue: a pilot randomized controlled trial. J Korean Acu Mox Soc. 2012;29:109–18 [article in Korean].

13. Kim SH, Park HJ, Park HA, Jang JH, Hwang KS, Lee SY. The clinical study on the effect of Sa-am acupuncture treatment for patients with fatigue. J Korean Acu Mox Soc. 2007;24:14957 [article in Korean].

14. World Health Organization. WHO International Standard Terminologies on Traditional Medicine in the Western Pacific Region. 1st ed. Manila: World Health Organization; 2007.

15. Kim JE, Hong KE, Kim HJ, Choi JB, Baek YH, Seo BK, et al. An open-label study of effects of acupuncture on chronic fatigue syndrome and idiopathic chronic fatigue: study protocol for a randomized controlled trial. Trials. 2013;14:147.

16. General Assembly of the World Medical Association. World Medical Association Declaration of Helsinki. Ethical principles for medical research involving human subjects. J Am Coll Dent. 2014;8:148.

17. Yi JH, Lee JH, Park SM, Kim YC, Lee JH, Woo HJ. Clinical investigation and follow-up monitoring of fatigue patients visiting the oriental medical hospital. J Korean Oriental Med. 2000;21:5563 [article in Korean]. 18. Shim SY, Park HJ, Lee JM, Lee HS. An overview of pain measurements.

Korean J Acu. 2007;24:77–97 [article in Korean].

19. Korean Acupuncture and Moxibustion Society. Acupuncture and Moxibustion. 2nd ed. Paju: Jipmoondang; 2008.

20. Flaws B. The Classic of Difficulties. 6th ed. Boulder: Blue Poppy Press; 2006. 21. Macpherson H. Pragmatic clinical trials. Complement Ther Med.


22. Yun YJ, Kang KW, Choi SM. An analysis of clinical trials for understanding and application of pragmatic clinical trial. J Korean Acu Mox Soc. 2009;26:105–16 [article in Korean].

23. Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol. 1989;46:1121–3.

24. Chung KI, Song CH. Clinical usefulness of Fatigue Severity Scale for patients with fatigue, and anxiety or depression. Korean J Psychiatr Med. 2001;9:164–73 [article in Korean].

25. Choi SM, Kang TY, Woo JM. Development and validation of a modified form of the Stress Response Inventory for workers. J Korean Neuropsychiatr Assoc. 2006;45:541–3 [article in Korean].

26. Rhee MK, Lee YH, Park SH, Sohn CH, Chung YC, Hong SK, et al. A standardization study of Beck Depression Inventory I - Korean version

(K-BDI): reliability and factor analysis. Korean. J Psychopathol. 1995;4:77–95 [article in Korean].

27. Devilly GJ, Borkovec TD. Psychometric properties of the credibility/ expectancy questionnaire. J Behav Ther Exp Psychiatry. 2000;31:73–86. 28. Lewis JA. Statistical principles for clinical trials (ICH E9): an introductory note

on an international guideline. Stat Med. 1999;18:190342. 29. Mallinckrodt CH, Lane PW, Schnell D, Peng Y, Mancuso JP.

Recommendations for the primary analysis of continuous endpoints in longitudinal clinical trials. Drug Inf J. 2008;42:303–19.

30. Chang SJ. Fatigue. In: The Korean society of preventive medicine. Standardization and measurement of health. Seoul: Gyechuk Press; 2000. p. 141–81 [article in Korean].

31. Gregori D, Baldi I, Frigo AC, Guardabasso V. Why, when and how to adjust for multiplicity in clinical trials: a perspective on regulatory activities. Biomedical Statistics Clin Epidemiol. 2010;4:27–34.

32. Dunnett CW. A multiple comparison procedure for comparing several treatments with a control. J Am Stat Assoc. 1955;50:1096–121. 33. Dittner AJ, Wessely SC, Brown RG. The assessment of fatigue: a practical

guide for clinicians and researchers. J Psychosom Res. 2004;56:157–70.

34. Whitehead L. The measurement of fatigue in chronic illness: a systematic review of unidimensional and multidimensional fatigue measures. J Pain Symptom Manage. 2009;37:107–28.

35. Group E. EuroQol–a new facility for the measurement of health-related quality of life. Health Policy. 1990;16:199–208.

36. Cairns R, Hotopf M. A systematic review describing the prognosis of chronic fatigue syndrome. Occup Med (Lond). 2005;55:2031.

37. Tanaka M, Watanabe Y. A new hypothesis of chronic fatigue syndrome: co-conditioning theory. Med Hypotheses. 2010;75:244–9.

38. Friedberg F, Jason LA. Chronic fatigue syndrome and fibromyalgia: clinical assessment and treatment. J Clin Psychol. 2001;57:433–55.

39. Lane P. Handling drop-out in longitudinal clinical trials: a comparison of the LOCF and MMRM approaches. Pharm Stat. 2008;7:93106.

40. Siddiqui O, Hung HM, O’Neill R. MMRM vs. LOCF: a comprehensive comparison based on simulation study and 25 NDA datasets. J Biopharm Stat. 2009;19:227–46.

41. Rothwell PM. Treating individuals 2. Subgroup analysis in randomised controlled trials: importance, indications, and interpretation. Lancet. 2005;365:176–86.

42. Son CG. Analysis of patients visiting an oriental hospital with idiopathic chronic fatigue or chronic fatigue syndrome. J Korean Med. 2013;34:11925 [article in Korean].

43. Kwak KK, Cho JH, Son CG. Study on chronic fatigue syndrome from oriental medicine point of view. Korean J Orient Int Med. 2008;29:962–9

[article in Korean].

44. Lee BH, Lee SN, Kim DJ, Kim JW, Lim SC, Jung TY, et al. A study on the fixed- and transformed-pattern of Sa-am acupuncture treatment. J Korean Acu Mox Soc. 2008;25:19 [article in Korean].

45. Kim DH. Saamdoin Acupuncture Therapy. 1st ed. Busan: Sogang Press; 2001. 46. Cho MS, Ahn CB. A review of the manipulation methods and the

supplementation and draining method in acupuncture. J Korean Acu Mox Soc. 1996;13:404–21 [article in Korean].

47. Yan CL, Zhu YL. The Treatment of External Diseases with Acupuncture and Moxibustion. 2nd ed. Boulder: Blue Poppy Press; 2007.

48. An JR, Lee IS. The study of Saamchimbeop’s method of reinforcement and reduction. J Oriental Rehab Med. 2009;19:113–23 [article in Korean]. 49. Ernst G, Strzyz H, Hagmeister H. Incidence of adverse effects during acupuncture therapy-a multicentre survey. Complement Ther Med. 2003;11:93–7.

50. Macpherson H, Scullion A, Thomas KJ, Walters S. Patient reports of adverse events associated with acupuncture treatment: a prospective national survey. Qual Saf Health Care. 2004;13:34955.

51. White A. The safety of acupuncture–evidence from the UK. Acupunct Med. 2006;24:53–7.

52. Di Blasi Z, Harkness E, Ernst E, Georgiou A, Kleijnen J. Influence of context effects on health outcomes: a systematic review. Lancet. 2001;357:757–62. 53. Larun L, Malterud K. Identity and coping experiences in Chronic Fatigue

Syndrome: A synthesis of qualitative studies. Patient Educ Couns. 2007;69:20–8.


Arthritis Fatigue Numerical Rating Scales (BRAF NRS) for severity, effect, and coping, Chalder Fatigue Questionnaire (CFQ), Checklist Individual Strength (CIS20R and CIS8R), Fatigue Severity Scale (FSS), Functional Assessment Chronic Illness Therapy (Fatigue) (FACIT-F), Multi-Dimensional Assessment of Fatigue (MAF), Multi-Dimensional Fatigue Inventory (MFI), Pediatric Quality Of Life (PedsQL) Multi-Dimensional Fatigue Scale, Profile of Fatigue (ProF), Short Form 36 Vitality Subscale (SF-36 VT), and Visual Analog Scales (VAS). Arthritis Care Res. 2011;63 Suppl 11:S263–86.

55. Tiesinga LJ, Dassen TW, Halfens RJ. Fatigue: a summary of the definitions, dimensions, and indicators. Nurs Diagn. 1996;7:51–62.

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Table 1 Baseline characteristics of study participants
Table 2 Results of mixed model for repeated measures (MMRM) analysis of full analysis set (FAS)
Table 5 Results of the mixed model for repeated measures (MMRM) analysis of fatigue severity scale (FSS) score in the subgroups
Table 6 Adverse events


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